Ranking algorithm for the layman – New Modeler Extension

Some ranking algorithms could be too sophisticated to be actually understood by a layman's type of person. The reasoning to develop this particular piece of work was to not only rank specific type of datasets but be able to explain how the ranking is performed for the layman's type of person.   Continue reading Ranking algorithm for the layman – New Modeler Extension

Estimating group based trajectory models using SPSS and R

For a project I have been estimating group based trajectory models for counts of crime at micro places. Synonymous with the trajectory models David Weisburd and colleagues estimated for street segments in Seattle. Here I will show how using SPSS and the R package crimCV one can estimate similar group based trajectory models.   Continue reading Estimating group based trajectory models using SPSS and R

The mad scientist workflow: Some examples of using python and R within SPSS

I figured I would share some of the scripts I have been recently working on to produce a set of figures on a regular basis for reports. SPSS GGRAPH can not be directly parameterized within macro's (at least without a lot of work - see a counter example of Marta Garcia-Granero's macro for Continue reading The mad scientist workflow: Some examples of using python and R within SPSS

Avoid Dynamite Plots! Visualizing dot plots with super-imposed confidence intervals in SPSS and R

Over at the stats.se site I have come across a few questions demonstrating the power of utilizing dot plots to visualize experimental results. Improving data analysis through a better visualization of data? Analyze and visualize participants response towards particular condition Alternative graphics to handle bar plots How to avoid overplotting (for points) using base-graph? from...  Continue reading Avoid Dynamite Plots! Visualizing dot plots with super-imposed confidence intervals in SPSS and R